Ask ChatGPT about Stripe net revenue
Load Stripe into your data warehouse first, so fees and refunds sit beside every charge, then ask ChatGPT what you kept. ChatGPT reads a Data Mart you published through OWOX, not the Stripe account.
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StripeConnectedBalance transact…ChargesCustomersDisputes
ChatGPTIdAccou…Livem…Daily 09:00Stripe Endpoints
14 Stripe endpoints you can import. Each lands in its own table in your data warehouse.
Balance transactions
Every movement of money through the Stripe balance: charges, refunds, disputes, fees, payouts, adjustments.
16 fieldsTime seriesCharges
One row per charge attempt: amount, outcome, card details, who paid and which invoice or payment intent it belongs to.
33 fieldsTime seriesCustomers
Every customer object: identity, billing country, delinquency and balance.
17 fieldsDisputes
One row per dispute (chargeback) with its status and evidence deadline.
14 fieldsTime seriesEvents
The audit trail: every change Stripe recorded (invoice.paid, customer.subscription.updated, charge.refunded, …) with the id of the object it concerns.
11 fieldsTime seriesInvoice line items
Every line on every invoice: what was billed, for which price and product, for which period.
19 fieldsInvoices
One row per invoice with amounts, status and period.
31 fieldsTime seriesPayment intents
One row per payment attempt lifecycle: how much was asked for, how much was received, and where it stands.
22 fieldsTime seriesPayouts
One row per transfer from the Stripe balance to the bank account: amount, arrival date, status.
18 fieldsTime seriesPrices
Every price (plan) of every product, active or not, with amount, currency and billing interval.
17 fieldsProducts
The catalogue: every product, active or not.
13 fieldsRefunds
One row per refund: how much was returned on which charge, why, and the balance transaction that reversed the money.
13 fieldsTime seriesSubscription items
The lines of every subscription: which price, how many units.
14 fieldsSubscriptions
One row per subscription in any status (status=all), full refresh every run so cancellations and past-due states are current.
23 fields
Why ChatGPT needs your data warehouse, not the Stripe account
ChatGPT reading Stripe directly sees a charge as a gross amount. What you kept is gross less the fee, the refunds and the disputes, and that net is computed in a warehouse from balance transactions, where the data analyst has already defined it.
- A charge is gross; revenue after Stripe's cut needs fees and refunds
- The data analyst defines net once, from balance transactions
- ChatGPT answers from a published Data Mart, with the same definition every time
StripeGross, fee, netChatGPT
Data warehouseJoined by idStep 1: Load Stripe into your data warehouse first
Create a Data Mart with Stripe as the source and choose where the data lands. The Stripe connector is a custom connector built in OWOX Data Marts, and the data goes into any popular data warehouse.
- Balance transactions is one of 14 endpoints, each in its own table
- Authorize with a restricted Stripe API key that has read access
- Open the Stripe connector for your data warehouse below
StripeData MartGoogle BigQuery
AWS Athena
Snowflake
AWS Redshift
Databricksstripe.balance_transactionsStep 2: Link Stripe balance transactions to charges and refunds
In your data warehouse the model joins Charges and Refunds on balance_transaction, so net revenue can be explained by the charges and refunds that carry each balance transaction.
- Charges and refunds each name their balance transaction
- reporting_category groups movements the way Stripe reports them
- Net is defined once, so the answer does not drift
Step 3: Connect ChatGPT to your Stripe data through OWOX
In ChatGPT, open Plugins, choose Install plugin, find OWOX Data Marts and sign in. ChatGPT then sees the Data Marts you published, and only those.
- Only published Data Marts are visible, nothing else in your data warehouse
- The Data Mart you published is the one it reads
ChatGPTConnectorsOWOX MCPAddConnectedStep 4: Ask ChatGPT about what you kept after fees
Ask in plain words, for example what net revenue came from each reporting category. ChatGPT finds the Data Mart that answers it, runs the query and reads the result from your data warehouse.
- The answer reads Balance transactions in your data warehouse, not the Stripe API
- Net can be read beside charges and refunds
ChatGPTShow net by reporting_categoryget_relevant_data_marts_by_promptquery_data_martreporting_categorynetfeeStep 5: Reuse Stripe net revenue answers as files
Optional: in one click, export the answer or its source data to Google Sheets, CSV or XLS to check it or share it.
- The export carries the same numbers as the answer
- Share it with a colleague who does not use ChatGPT
Google SheetsCSVXLSOne click
- 0.41.0Dates from Google Sheets arrive as dates, not text
- 0.41.0Rotating a connector key is one change: Sources share reusable Credentials
- 0.40.0Connecting a plan from Google Sheets takes fewer guesses
- 0.39.0Reload a year of history in one backfill, not twelve
- 0.39.0Long Facebook Ads imports no longer fail on a corrupted response
Why OWOX for Stripe in ChatGPT
Letting ChatGPT call the Stripe API gets a gross figure into a chat. OWOX also keeps net revenue yours, joined and defined once, so the answer is one you can check.
- You own the data. Stripe lands in your own data warehouse, in tables you control.
- Net, not gross. Fees, refunds and disputes sit in the same data model, so ChatGPT can say what was kept.
- The whole account, not one object. 14 endpoints land as tables, from balance transactions to prices.
- Answers you can trace. You can see which Data Mart an answer came from, and one click exports its source data.
- Versioned, with rollback. The manifest is open in the connector builder, and every change is a saved version you can roll back.
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